class_docstr: Remove given dimensions of input of size 1.
  Operates on tensors.
  
  Parameters
  ----------
  *dims : List[int]
      Dimensions to squeeze.
code: def __init__(self, *dims):
      super().__init__()
      self.dims = dims
  
file_path: ffcv/ffcv/transforms/common.py
imports: from typing import Callable, Optional, Tuple
  from ..pipeline.allocation_query import AllocationQuery
  from ..pipeline.operation import Operation
  from ..pipeline.state import State
  from dataclasses import replace
label_desc: Use image node_id 1 to create a new Squeeze object from inherited base classes: Operation with example: obj = Squeeze()